Department of Psychology, University of Nebraska Omaha, Omaha, NE, USA; Center for Magnetoencephalography, University of Nebraska Medical Center (UNMC), Omaha, NE, USA; Department of Neurological Sciences, UNMC, Omaha, NE, USA.
Center for Magnetoencephalography, University of Nebraska Medical Center (UNMC), Omaha, NE, USA; Department of Neurological Sciences, UNMC, Omaha, NE, USA.
Neuroimage. 2019 Jan 1;184:256-265. doi: 10.1016/j.neuroimage.2018.09.022. Epub 2018 Sep 10.
A network of predominantly left-lateralized brain regions has been linked to verbal working memory (VWM) performance. However, the impact of memory load on the oscillatory dynamics serving VWM is far less understood. To further investigate this, we had 26 healthy adults perform a high-load (6 letter) and low-load (4 letter) variant of a VWM task while undergoing magnetoencephalography (MEG). MEG data were evaluated in the time-frequency domain and significant oscillatory responses spanning the encoding and maintenance phases were reconstructed using a beamformer. To determine the impact of load on the neural dynamics, the resulting images were examined using paired-samples t-tests and virtual sensor analyses. Our results indicated stronger increases in frontal theta activity in the high- relative to low-load condition during early encoding. Stronger decreases in alpha/beta activity were also observed during encoding in bilateral posterior cortices during the high-load condition, and the strength of these load effects increased as encoding progressed. During maintenance, stronger decreases in alpha activity in the left inferior frontal gyrus, middle temporal gyrus, supramarginal gyrus, and inferior parietal cortices were detected during high- relative to low-load performance, with the strength of these load effects remaining largely static throughout maintenance. Finally, stronger increases in occipital alpha activity were observed during maintenance in the high-load condition, and the strength of these effects grew stronger with time during the first half of maintenance, before dissipating during the latter half of maintenance. Notably, this was the first study to utilize a whole-brain approach to statistically evaluate the temporal dynamics of load-related oscillatory differences during encoding and maintenance processes, and our results highlight the importance of spatial, temporal, and spectral specificity in this regard.
一个主要由左侧大脑区域组成的网络与言语工作记忆(VWM)性能相关。然而,记忆负荷对服务于 VWM 的振荡动力学的影响还远未被理解。为了进一步研究这一点,我们让 26 名健康成年人在进行脑磁图(MEG)的同时执行 VWM 任务的高负荷(6 个字母)和低负荷(4 个字母)变体。MEG 数据在时频域中进行评估,并使用波束形成器重建跨越编码和维持阶段的显著振荡响应。为了确定负荷对神经动力学的影响,使用配对样本 t 检验和虚拟传感器分析检查得到的图像。我们的结果表明,在早期编码过程中,高负荷条件下额部 theta 活动的增强更为明显。在高负荷条件下,双侧后皮质的编码过程中也观察到 alpha/beta 活动的强烈减少,并且随着编码的进行,这些负荷效应的强度增加。在维持阶段,在高负荷条件下,左侧额下回、颞中回、缘上回和顶下小叶的 alpha 活动的减少更为明显,这些负荷效应的强度在维持过程中基本保持不变。最后,在高负荷条件下的维持阶段观察到枕部 alpha 活动的增强更为明显,并且这些效应的强度随着时间的推移在维持的前半段增强,然后在维持的后半段消散。值得注意的是,这是第一项利用全脑方法来统计评估编码和维持过程中与负荷相关的振荡差异的时间动态的研究,我们的结果强调了在这方面空间、时间和频谱特异性的重要性。